Discussion of article "Neural Networks: From Theory to Practice" - page 10

[Dmitriy Parfenovich]

Hailong Song:
Nice Post, In your codes, you mentioned Trade\Trade.mqh and Trade\PositionInfo.mqh, can you provide the download link of those two? many thanks!

Thanks.

Trade\Trade.mqh and Trade\PositionInfo.mqh are the files in the standard library located in the Metatrader folder.

You do not need to download them separately.

[Boris Egorov]

Evgeniy Scherbina:

I don't understand the essence of your claims, and the normalisation formula is a classic one

[[Deleted]]

Another useful ralated project.

https://www.mql5.com/en/forum/338341/page4#comment_17770620

[Zeke Yaeger]

Thank you, this is really a great introduction to NN.

[changquan89]

Strong's unreadable, but I think it's awesome.

[Игорь Медведев]

Can you tell me what I am doing wrong, I compiled the code from the article, filled in the parameters. When I run the optimisation I have the same profit value in each pass

[CatalaniCD]

The way of optimizing the network is "SMART", even when he's not using the regular "BACKPROPAGATION" algorithm.

Backpropagation adjust the weights automatically in order to reduce the output "ERROR" (or loss) to a truth value.

What is SMART about this Feed Forward Network application ?

- Instead of solving the Optimization problem of "Backpropagation", the optimization problem solved is likely to be named as "Feature Fitting"

or "Feature Extraction Problem". Following this, the solution obtained is... "Given the Trading Rules which are the Features that Perform Better, or maximize the trading output"

in this sense the problem is more about "The proper way to represent the trading situation instead of fitting a function (the regular use of Deep Learning)".

What are Features in Deep Learning ?

- The interesting thing in Deep Learning is that each network layer works as an Adjustable Linear Transformation, this allows to change the space in which the data is projected,

and that creates a new representation (new features).

[dustin shiozaki]

only opens 1 trade in backtest

[emad koosha]

thank you for your articles.

[taylor.yaron]

An important question:

The RSI N past values is set to 14(N=14).

The number of inputs is 10 (past values).

Is there a problem? Seems that the ML results might be unstable?

Please answer....

Thanks